The UserMetrics API. Measuring participation in Wikimedia projects
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The document discusses the Usermetrics API, a tool designed to measure participation in Wikimedia projects and assess the effectiveness of various engagement strategies. It outlines the rationale behind the API, definitions of key metrics, and the process of cohort analysis to evaluate user behavior. The document also highlights the capabilities of Usermetrics and Wikimetrics, including fast data extraction and support for extensive research.
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The UserMetrics API. Measuring participation in Wikimedia projects
- 1. The UserMetrics API Measuring participation in Wikimedia projects Dario Taraborelli Wikimedia Foundation Wikimania 2013, Hong Kong, 9 August 2013
- 2. Overview Rationale Background Introducing the UserMetrics API The next steps: Wikimetrics
- 3. Rationale How do we determine if a {program, experiment, new feature} we run to engage new editors and increase participation is actually working? How do we measure the relative success of these interventions in driving participation?
- 5. The problem: metric definitions ACTIVE EDITOR RETAINED EDITOR HIGH-QUALITY ARTICLE NEW WIKIPEDIAN SURVIVING EDIT
- 6. User cohorts
- 8. Cohort analysis - 1 Define a cohort from a list of editors sharing a meaningful attribute Examples • participants in an experimental condition of an A/B test • students enrolled in a Global Education course • members of a Wikiproject • new editors reaching 10+ edits in their first month since registration • users registered on mobile devices • participants in an editathon
- 9. Cohort analysis - 2 Measure the {quality, productivity, retention} of these users via a standard set of metrics
- 10. Cohort analysis - 3 Compare a cohort to a (meaningful) baseline using a standard set of metrics
- 11. UserMetrics
- 12. UserMetrics
- 13. UserMetrics Formally defined metrics, backed by extensive research and crash-tested in the WMF Editor Engagement program. Support for cohorts from any Wikimedia project. Fast extraction of computationally intensive metrics for cohorts of thousands of users. Individual responses or aggregate data using various aggregator methods. Supports time series. Extensible and fully parametrized (metrics can be fine- tuned, default parameters overridden as needed)
- 14. raw results
- 16. time series
- 18. WikiMetrics Functionality ported from UserMetrics Improved UX Redesigned backend and job management Access control and user authentication Abstraction
- 19. Get involved UserMetrics (private) end-user documentation https://www.mediawiki.org/wiki/UserMetrics/Guide source code http://github.com/wikimedia/analytics-user-metrics WikiMetrics (public, under development) home http://metrics.wmflabs.org source code http://github.com/wikimedia/analytics-wikimetrics mailing list https://lists.wikimedia.org/mailman/listinfo/wikimetrics
- 20. thank you Dario Taraborelli The UserMetrics API: Measuring participation in Wikimedia projects dario@wikimedia.org @readermeter